Title :
Efficient face coding in video sequences combining adaptive principal component analysis and a hybrid codec approach
Author :
Piqué, Roger ; Torres, Luis
Author_Institution :
Tech. Univ. of Catalonia, Barcelona, Spain
Abstract :
This paper presents a new proposal for a video coding scheme intended for human faces in video sequences using an eigenspace approach. The scheme greatly improves previous results by proposing a new adaptive eigenspace technique in combination with the new upcoming standard AVC. The description of the face is also included in the bit stream using the MPEG-7 descriptors thus providing search and browsing functionalities along with coding efficiency. The total bit stream presents the better or same coding efficiency than AVC/H.264 and offers a very competitive alternative to B-predictive frames. Results are provided in the paper for bit-rates around 2.5 Kbit/s.
Keywords :
adaptive codes; code standards; data compression; eigenvalues and eigenfunctions; face recognition; image sequences; principal component analysis; video codecs; video coding; AVC standard; MPEG-7 descriptors; adaptive eigenspace technique; adaptive principal component analysis; browsing functionalities; coding efficiency; efficient face coding; human faces; hybrid codec approach; search functionalities; video coding; video sequences; Automatic voltage control; Codecs; Face; Humans; MPEG 7 Standard; Principal component analysis; Proposals; Streaming media; Video coding; Video sequences;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on
Print_ISBN :
0-7803-7663-3
DOI :
10.1109/ICASSP.2003.1199553